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for reaction-diffusion systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC
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We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the
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explore possibilities to enhance the sensitivity of Magnetic Resonance (ESR and NMR) by harnessing the large spin polarization of photo-excited triplet states in a broadly applicable manner. Curious? So are
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Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g
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therapeutic targets. These efforts produce large-scale, rich in vivo perturbation datasets. The computational challenges include building scalable and reproducible pipelines for guide demultiplexing and
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development. The project is in close collaboration with a large enterprise and focusses on the development of high-performance materials and materials systems based on, among others, silica aerogel. Key
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formulating constitutive and damage laws that capture cavitation-driven processes, implementing and verifying robust large deformation solvers, and performing rigorous verification and validation using datasets
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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micrometeorology, greenhouse gas exchange, tree and/or ecosystem physiology Relevant research experience can be based on observations, modelling or statistical analyses Excellent command of large data analyses as
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description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and expanding the TreeAI database and advancing